Bharani Kumar Yerraballi

Designed and enhanced scalable Spring Boot microservices for critical healthcare workflows, increasing transaction throughput by 38% and securely processing 60,000+ daily patient records across multiple regions. Developed Angular front-end modules with reactive forms and advanced state management, reducing UI response time by 30% and improving clinician, pharmacy, and patient usability. Integrated RESTful APIs and third-party healthcare partner systems to streamline interoperability across insurance, claims, and pharmacy networks, reducing manual data transfers by ~45%. Implemented HIPAA-compliant authentication, encryption, and audit logging to ensure 100% compliance during audits. Led Agile sprints across cross-functional teams and automated deployments via Jenkins, Docker, and Kubernetes on AWS, cutting production rollout downtime by 35% and stabilizing service availability.

Refactored monolithic enterprise applications into Spring Boot-based microservices, reducing maintenance overhead by 28% and enabling horizontal scalability across global financial service platforms. Architected cloud-native data ingestion and processing pipelines using AWS Lambda, SQS, and DynamoDB, enhancing throughput by 42% and ensuring stable high-volume data operations. Engineered responsive front-ends with React.js and Angular, driving a 20% increase in end-user engagement. Developed and maintained CI/CD pipelines with Jenkins and Git integrations, automating builds and deployments, reducing failure rates by 40% and shortening release cycles to one week. Collaborated with cross-functional global teams following Agile practices to deliver enterprise-grade applications, achieving 99% sprint goals and strong stakeholder satisfaction. Optimized PostgreSQL queries, schemas, and indexing, improving query response times by 45% with workloads over two million daily transactions.

Refactored monolithic enterprise applications into Spring Boot-based microservices, reducing maintenance overhead by 28% and enabling horizontal scalability across global financial platforms. Architected cloud-native data ingestion and processing pipelines using AWS Lambda, SQS, and DynamoDB, increasing throughput by 42% and ensuring stable high-volume data operations. Implemented CI/CD pipelines with Jenkins and Git, driving faster releases and improved reliability. Optimized PostgreSQL queries and schemas to improve response times by 45%.